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- W2379968165 abstract "A novel combined adaptive decentralized fuzzy sliding mode control algorithm is presented for a class of large-scale uncertain nonlinear systems.By means of fuzzy logic systems and a sliding mode method,the designed controller is a weighted combination of both indirect and direct adaptive fuzzy controllers(IAFC and DAFC) so that two kinds of fuzzy information,i.e.plant knowledge and control knowledge can be incorporated at the same time to raise adaptive effect.The indirect and direct adaptive fuzzy control design schemes are proposed in a united format under a large-scale system framework,which further overcomes the drawbacks of the existing relative control algorithms.The closed-loop large-scale system is proven to be uniformly asymptotically stable.The algorithm is applied to the following control of vehicles in an automated highway system and simulation results show the proposed combined adaptive fuzzy control systems display better tracking performance than typical indirect or direct adaptive ones." @default.
- W2379968165 created "2016-06-24" @default.
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- W2379968165 date "2009-01-01" @default.
- W2379968165 modified "2023-09-24" @default.
- W2379968165 title "Decentralized adaptive fuzzy sliding mode controller and following control of vehicles" @default.
- W2379968165 hasPublicationYear "2009" @default.
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